{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### ❇️ Matplotlib: Subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's define quantities to be plotted\n",
    "x = np.linspace(0, 10)\n",
    "functions_of_x = [x, np.sin(x), np.cos(x), np.tan(x)]\n",
    "\n",
    "# plot titles and colours\n",
    "colors = ['red', 'green', 'blue', 'magenta']\n",
    "titles = ['x', 'sin(x)', 'cos(x)', 'tan(x)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define a figure and specify size\n",
    "plt.figure(figsize=(7, 7))\n",
    "\n",
    "# Number of rows and columns in plot; num_subplots = nrows*ncols\n",
    "nrows, ncols = 2, 2\n",
    "\n",
    "for i in range(4):\n",
    "    # plt.subplot return an Axes object over which we draw each subplot\n",
    "    # plt.subplot(nrows, ncols, index); index: starts at 1 in the upper left corner\n",
    "    # of the nrows*ncols grid and increases to the right\n",
    "    \n",
    "    axes_i = plt.subplot(nrows, ncols, i+1)\n",
    "    axes_i.plot(x, functions_of_x[i], color=colors[i])\n",
    "    axes_i.set_title(titles[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### ❇️ Hope you enjoyed reading!! 📖 \n",
    "##### ❇️ follow → @akshay_pachaar  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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